Heiko H.
Structured Reinforcement Learning for ML-CO-Pipelines
19th Learning and Intelligent OptimizatioN Conference (LION 2025)
2025

Maximilian S.
Optimization-augmented Machine Learning Pipelines
19th Learning and Intelligent OptimizatioN Conference (LION 2025)
2025

Christina L.
Dynamic Fee-Setting under Uncertainty in Two-Sided Marketplaces
MSOM Conference
2025

Heiko H.
Structured Reinforcement Learning
International Conference on Stochastic Programming (ICSP 2025)
2025

Simon T.
A Note on Piecewise Affine Decision Rules for Robust, Stochastic, and Data-Driven Optimization
International Conference on Stochastic Programming (ICSP 2025)
2025

Deng, S.; Schiffer, M.,; Bichler, M.
On the Existence of Algorithmic Collusion in Dynamic Pricing with Deep Reinforcement Learning
WI 2024, Wurzburg
2024

Hiermann, G.; Schiffer, M.
A decomposition-based approach for large-scale pickup and delivery problems
7th EULOG Meeting, Vienna, Austria, 2024
2024

Ulusoy Dereli, B.;Hiermann, G.; Schiffer, M.
Solving Very Large-Scale Two-Echelon Location Routing Problems in City Logistics
OR 2024 Conference, Munich
2024

Thomä, S.; Wiesemann, W.; Schiffer, M.
Piecewise Affine Decision Rules for Multi-Stage Adjustable Optimization
OR 2024 Conference, Munich
2024

Serrano, B.; Jacquillat, A.; Minner, S.; Schiffer, M.
Optimizing Ride-Hailing with a Mix of On-Demand and Pre-Booked Customers Under Distributional Shift
OR 2024 Conference, Munich
2024